Local Linear Regression for Non Grid Spatiotemporal Models with Autoregressive Errors

Autor:	Hongxia Wang, Jinde Wang
Rok vydání:	2013
Předmět:	Statistics and Probability Estimation Autoregressive model Econometrics Asymptotic distribution Estimator Local regression ComputingMethodologies_GENERAL Spatiotemporal correlation Estimation methods Grid Nonlinear Sciences::Pattern Formation and Solitons Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 42:4259-4275
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610926.2011.648796
Popis:	In various environmental studies, spatiotemporal correlated data are involved, so there has been increasing demand of proposing spatiotemporal estimation methods that capture spatiotemporal correlation so as to improve the accuracy of estimation. In this article, we construct estimators for non grid spatiotemporal models with autoregressive errors. It is proved that the estimators are asymptotic normality. Simulation results also show the estimators perform well.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::26539b3069810da48e9730e3ca1c0ce5 https://doi.org/10.1080/03610926.2011.648796 Zobrazit plný text záznamu